Campus placement or campus recruiting is a program conducted within universities or other educational institutions to provide jobs to students nearing completion of their studies. This dataset consists of placement data of students in a certain campus. It includes secondary and higher secondary school percentage and specialization. It also includes degree specialization, type, work experience and salary offers to the placed students. More details about the dataset can be found at this link https:// www.kaggle.com/benroshan/factors-affecting-campus-placement. More information about education system in India can be found at the link https://wenr.wes.org/2018/09/ education-in-india. Please first conduct exploratory data analysis and data visualization to bring out insights. Then study what factors affect the salary and how. You are supposed to use the regression tools we have learned in class, including linear regression, data transformation, variable selection, model diagnosis/evaluation, etc. Last, list one new question that you are interested in based on this data set and answer your questions by conducting data analysis in RStudio. What factors influence a candidate in getting placed? (Logistic Regression) Data set https://drive.google.com/drive/folders/1Kl1dEW2gfqbNupC4jcXzXtyUXwKDvYh